metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-nsp-10000-1e-06-16
results: []
bert-base-uncased-nsp-10000-1e-06-16
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4019
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 64
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 157 | 0.6964 |
| 0.7027 | 2.0 | 314 | 0.6912 |
| 0.6942 | 3.0 | 471 | 0.6809 |
| 0.6806 | 4.0 | 628 | 0.6548 |
| 0.6806 | 5.0 | 785 | 0.6324 |
| 0.6538 | 6.0 | 942 | 0.6146 |
| 0.6265 | 7.0 | 1099 | 0.6019 |
| 0.6071 | 8.0 | 1256 | 0.5906 |
| 0.5947 | 9.0 | 1413 | 0.5812 |
| 0.5947 | 10.0 | 1570 | 0.5710 |
| 0.5781 | 11.0 | 1727 | 0.5594 |
| 0.5666 | 12.0 | 1884 | 0.5410 |
| 0.5422 | 13.0 | 2041 | 0.5192 |
| 0.5422 | 14.0 | 2198 | 0.4981 |
| 0.5154 | 15.0 | 2355 | 0.4777 |
| 0.4849 | 16.0 | 2512 | 0.4636 |
| 0.4559 | 17.0 | 2669 | 0.4514 |
| 0.4421 | 18.0 | 2826 | 0.4442 |
| 0.4421 | 19.0 | 2983 | 0.4328 |
| 0.4223 | 20.0 | 3140 | 0.4251 |
| 0.4069 | 21.0 | 3297 | 0.4197 |
| 0.3988 | 22.0 | 3454 | 0.4165 |
| 0.3912 | 23.0 | 3611 | 0.4120 |
| 0.3912 | 24.0 | 3768 | 0.4086 |
| 0.3803 | 25.0 | 3925 | 0.4060 |
| 0.3847 | 26.0 | 4082 | 0.4050 |
| 0.3749 | 27.0 | 4239 | 0.4032 |
| 0.3749 | 28.0 | 4396 | 0.4032 |
| 0.37 | 29.0 | 4553 | 0.4020 |
| 0.3694 | 30.0 | 4710 | 0.4019 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1